Talib, Ahmed and Mahmuddin, Massudi and Husni, Husniza and George, Loay E. (2014) Dominant color-based indexing method for fast content-based image retrieval. In: Recent Advances in Information and Communication Technology. Advances in Intelligent Systems and Computing, 265 . Springer International Publishing, pp. 135-144. ISBN 978-3-319-06537-3

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Abstract

Content-based image retrieval is an active research area in image processing and computer vision.Color represents an important feature in CBIR applications, thus many color descriptors were proposed.Sequential search is one of the common drawbacks of most color descriptors especially in large databases.In this paper, dominant colors of an image are indexed to avoid sequential search in the database.Dominant colors in query image are used independently to find images that containing similar colors to create reduced search space instead of the whole database search space.This will speed up the retrieval process in addition to improve the accuracy of color descriptors.Experimental results show effectiveness of the proposed color indexing method in reducing the search space to less than 25% without degradation the accuracy.

Item Type:	Book Section
Additional Information:	Book Subtitle: Proceedings of the 10th International Conference on Computing and Information Technology (IC2IT2014)
Uncontrolled Keywords:	Color indexing Dominant colors MPEG-7 descriptors RGB color space Database search space
Subjects:	Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions:	School of Computing
Depositing User:	Dr. Massudi Mahmuddin
Date Deposited:	17 Apr 2016 04:33
Last Modified:	17 Apr 2016 04:33
URI:	https://repo.uum.edu.my/id/eprint/17906

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